core_creator/code_generator.py

# code_generator.py - Turns app blueprint into executable Python code using OpenAI

import os
from openai import OpenAI

client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))

def generate_app_code(blueprint: dict) -> str:
    base_prompt = f"""
You are an expert Python developer and Gradio engineer.
Generate a Hugging Face-ready app that does the following:

Title: {blueprint.get("title")}
Description: {blueprint.get("description")}

Inputs: {blueprint.get("inputs")}
Outputs: {blueprint.get("outputs")}
Voice Commands: {blueprint.get("voice_commands")}

Requirements:
- Use Gradio Blocks.
- Accept user voice or text input.
- Use placeholder code for hardware control (e.g., robot.move_arm()).
- Print logs for each user command detected.
- Keep it in a single Python file.
- Wrap robot behavior in a function named `robot_behavior()`.
- Return only the Python code, no extra explanation.
"""

    response = client.chat.completions.create(
        model="gpt-4o",
        messages=[
            {"role": "system", "content": "You write production-quality Hugging Face Spaces code."},
            {"role": "user", "content": base_prompt},
        ],
        temperature=0.3
    )

    return response.choices[0].message.content.strip()

# Example
if __name__ == "__main__":
    sample_blueprint = {
        "title": "WaveBot",
        "description": "A robot that waves and greets customers.",
        "inputs": ["camera", "microphone"],
        "outputs": ["arm wave", "voice greeting"],
        "voice_commands": ["hello", "hi", "good morning"],
        "monetization": ["Retail subscription", "Affiliate for motion sensors"]
    }
    code = generate_app_code(sample_blueprint)
    print(code[:1000])